AI0-001 AI Security, Ethics and Governance Practice Question
Which TWO of the following are common threats to AI model security?
⚠ Common exam trap
The AI0-001 exam often tests the distinction between traditional IT security threats (like SQL injection or DDoS) and AI-specific threats (like data poisoning and adversarial examples), so candidates may incorrectly select familiar network or application attacks instead of recognizing the unique AI attack vectors.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Data poisoning
B is correct because data poisoning involves an attacker injecting malicious data into the training set to corrupt the model's learning process, causing it to make incorrect predictions or classifications. This directly undermines the integrity of the AI model by manipulating its foundational training data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
SQL injection
Why it's wrong here
Attacks databases, not AI models directly.
- ✓
Data poisoning
Why this is correct
Malicious data inserted during training to corrupt model.
- ✓
Adversarial examples
Why this is correct
Inputs crafted to cause misclassification.
- ✗
Distributed denial-of-service (DDoS)
Why it's wrong here
Targets network availability, not model integrity.
- ✗
Phishing attacks
Why it's wrong here
Targets human users, not AI systems.
About these practice questions
One of 754 original AI0-001 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.